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About
Pinaki Das has carved a distinctive niche at the intersection of swarm intelligence and autonomous robotics, with a particular focus on humanoid robot navigation in complex, unknown environments. His most cited work introduces an improved Butterfly Optimization Algorithm (BOA) that addresses the critical challenge of path planning when a robot operates without prior environmental knowledge—a scenario far more demanding than navigation in mapped spaces. By refining the BOA’s exploration-exploitation balance, Das’s algorithm enables humanoid robots to dynamically adapt to unfamiliar settings, avoiding obstacles while efficiently reaching designated targets. This contribution, published in 2025 and already garnering citations, underscores its immediate relevance to researchers tackling real-world robotic autonomy. Das’s research bridges theoretical optimization methods with practical robotic applications, offering a scalable solution for search-and-rescue, industrial automation, and service robotics. His work stands out for its pragmatic approach to a long-standing problem: how to make robots truly autonomous in the unpredictable, unstructured spaces where they are most needed.
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